Reddit Dataset.
For the Reddit dataset, we adopt as baselines two, three, and four-layer GraphSAGE models [1]} with hidden dimensions of 256.
F1 score and training time are used to measure each model's performance.
All tests are run for a total of 80 epochs with no weight decay, using the Adam optimizer [2]}.
We find that \(\zeta =500\)  achieves consistently high performance for GIST on Reddit.
The training graph is partitioned into \(15,\!000\)  sub-graphs during training and a batch size of 10 is used.
Tests are repeated for three trials, and the average performance across trials is reported.
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